Deep Knockoffs

16 November 2018

Emmanuel J. Candès

Papers citing "Deep Knockoffs"

28 / 28 papers shown

Title
Error-controlled non-additive interaction discovery in machine learning models Winston Chen Yifan Jiang William Stafford Noble Yang Young Lu 45 1 0 17 Feb 2025
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection Xiaochen Zhang Yunfeng Cai Haoyi Xiong 47 0 0 28 Jan 2025
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data Taehyo Kim Hai Shu Qiran Jia Mony de Leon 13 0 0 20 Oct 2023
Stepdown SLOPE for Controlled Feature Selection Jingxuan Liang H. Chen Xuelin Zhang Weifu Li Xin Tang 83 0 0 21 Feb 2023
Generating knockoffs via conditional independence E. Dreassi Fabrizio Leisen L. Pratelli P. Rigo UQCV 13 1 0 19 Dec 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 21 7 0 27 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio' M. Schaar 39 11 0 01 Nov 2022
Conditional Feature Importance for Mixed Data Kristin Blesch David S. Watson Marvin N. Wright 50 7 0 06 Oct 2022
Model-X Sequential Testing for Conditional Independence via Testing by Betting Shalev Shaer Gal Maman Yaniv Romano 30 16 0 01 Oct 2022
DIET: Conditional independence testing with marginal dependence measures of residual information Mukund Sudarshan A. Puli Wesley Tansey Rajesh Ranganath 21 2 0 18 Aug 2022
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 26 2 0 03 Jul 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 26 0 0 17 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 48 0 12 May 2022
Error-based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao H. Chen Yingjie Wang Weifu Li Tieliang Gong Yulong Wang Feng Zheng 36 1 0 09 Mar 2022
Variable Selection with the Knockoffs: Composite Null Hypotheses Mehrdad Pournaderi Yu Xiang 25 1 0 06 Mar 2022
Kernel Two-Sample Tests in High Dimension: Interplay Between Moment Discrepancy and Dimension-and-Sample Orders J. Yan Xianyang Zhang 20 16 0 31 Dec 2021
High-Dimensional Knockoffs Inference for Time Series Data Chien-Ming Chi Yingying Fan C. Ing Jinchi Lv AI4TS 27 6 0 18 Dec 2021
Normalizing Flows for Knockoff-free Controlled Feature Selection Derek Hansen Brian Manzo Jeffrey Regier OOD 27 5 0 03 Jun 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 22 119 0 03 Dec 2020
Relative Feature Importance Gunnar Konig Christoph Molnar B. Bischl Moritz Grosse-Wentrup 13 48 0 16 Jul 2020
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach Christoph Molnar Gunnar Konig B. Bischl Giuseppe Casalicchio 26 77 0 08 Jun 2020
Knockoffs with Side Information Zhimei Ren Emmanuel Candès 11 20 0 22 Jan 2020
Power analysis of knockoff filters for correlated designs Jingbo Liu Philippe Rigollet 23 16 0 28 Oct 2019
More Powerful Selective Kernel Tests for Feature Selection Jen Ning Lim M. Yamada Wittawat Jitkrittum Y. Terada S. Matsui Hidetoshi Shimodaira 50 9 0 14 Oct 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 24 70 0 13 Jun 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 28 136 0 10 Apr 2019
Rejoinder: "Gene Hunting with Hidden Markov Model Knockoffs" Matteo Sesia C. Sabatti Emmanuel J. Candès 8 11 0 13 Mar 2019
Testing Conditional Independence in Supervised Learning Algorithms David S. Watson Marvin N. Wright CML 24 52 0 28 Jan 2019